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Christoph Dann

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 11:26 AM AMS

9

papers

246

total citations

papers (9)

A Minimaximalist Approach to Reinforcement Learning from Human Feedback

A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning

NEURIPS 2021arXiv

Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning

NEURIPS 2021arXiv

Best of Both Worlds Model Selection

NEURIPS 2022arXiv

Reinforcement Learning with Feedback Graphs

NEURIPS 2020arXiv

Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective

Design Considerations in Offline Preference-based RL

Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations

Neural Active Learning with Performance Guarantees